Co-design Hardware and Algorithm for Vector Search

Vector search has emerged as the foundation for large-scale information retrieval and machine learning systems, with search engines like Google and Bing processing tens of thousands of queries per second on petabyte-scale document datasets by evaluating vector similarities between encoded query text...

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Veröffentlicht in:	International Conference for High Performance Computing, Networking, Storage and Analysis (Online) S. 1 - 16
Hauptverfasser:	Jiang, Wenqi, Li, Shigang, Zhu, Yu, de Fine Licht, Johannes, He, Zhenhao, Shi, Runbin, Renggli, Cedric, Zhang, Shuai, Rekatsinas, Theodoros, Hoefler, Torsten, Alonso, Gustavo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 11.11.2023
Schlagworte:	Approximate nearest neighbor search Clustering algorithms Data centers FPGA Hardware hardware acceleration Search engines TCPIP Training Vectors
ISSN:	2167-4337
Online-Zugang:	Volltext
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